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  • 标题:Evaluating the potential of image quality metrics for quality assessment of high resolution pan-sharpen satellite imagery in urban area
  • 本地全文:下载
  • 作者:Farhad Samadzadegan ; Farzaneh DadrasJavan
  • 期刊名称:ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
  • 印刷版ISSN:2194-9042
  • 电子版ISSN:2194-9050
  • 出版年度:2010
  • 卷号:XXXVIII - Part 1
  • 出版社:Copernicus Publications
  • 摘要:Recently, variety of fusion methods has been proposed to enhance the spatial and spectral resolution of high resolution satellite imagery. Most of the available satellite images are restricted to improved spatial resolution or spectral resolution. Considering the direct effects of registration accuracy on the quality of fused image, it is necessary to evaluate these effects before using them in latter applications. Accordingly lots of quality evaluation processes have been proposed for quality assessment of fused images which are mostly inspired from developed image quality approaches. This paper deals with potential evaluation of some common quantitative approaches inspecting quality of fusion. Experiments conducted to evaluate the sensitivity of them to registration accuracy on Quick Bird high resolution satellite imagery in an urban area. The obtained results clearly reveal that these metrics sometimes do not behave robust and their obtained results are also inconsistence in different patch areas with different level of spectral distortion
  • 关键词:Fusion; Quality Metrics; Registration Accuracy; Quantitative Analysis; Satellite Imagery
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